Agent sandboxes with governed data access: plan the boundaries
AgentBay provides isolated code and tool sandboxes with data access through LakeGate. Define what an agent may read, execute and change before giving it a real workflow.
Relevant capabilities
- Isolated sandboxes for agent code and tools
- Scoped data access through LakeGate
- MCP access alongside existing agent toolkits
How should you compare the options?
- Which actions need approval or must be prohibited?
- How are network, filesystem and data permissions separated?
- How will your team investigate an incorrect action?
What should you bring?
- One agent workflow and its tools
- Allowed data and action matrix
- Identity, logging and approval requirements
What does a practical first workflow look like?
- Choose a reversible task with explicit action limits.
- Connect only the required tools and scoped data access.
- Test failures and prohibited actions before expanding the agent’s remit.
What should you check before expanding?
- Attempt disallowed queries and actions.
- Check sandbox isolation and cleanup.
- Trace outputs to the originating workflow and permission set.
How should you evaluate the cost?
Compare the cloud bill, platform charges, operating effort and migration work for the same workload. Cloud capacity is not free. Charges and scope need agreement before paid deployment.
What needs checking before switching?
AWS and Google Cloud are available today; other deployment environments are roadmap. Preserve the existing workload and access path until compatibility, recovery and cutover checks pass.